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@@ -127,11 +127,11 @@ print(res[0]['generated_text'][-1]['content'])
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  The model was trained in two stages. In the first stage, MLP layers were trained on mathematics and code. In the second stage, the entire model was trained on internal and open synthetic instructional datasets.
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- ### ru-llm-arena: **29.4** (local measurement)
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  | **Model** | **Score** | **95% CI** | **Avg Tokens** |
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  | ------------------------------------------- | --------- | --------------- | -------------- |
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- | **MTSAIR/Cotype-Nano** | **29.4** | **+1.7 / -1.6** | **588** |
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  | storm-7b | 20.62 | +2.0 / -1.6 | 419.32 |
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  | neural-chat-7b-v3-3 | 19.04 | +2.0 / -1.7 | 927.21 |
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  | Vikhrmodels-Vikhr-Llama-3.2-1B-instruct | 19.04 | +1.3 / -1.6 | 958.63 |
 
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  The model was trained in two stages. In the first stage, MLP layers were trained on mathematics and code. In the second stage, the entire model was trained on internal and open synthetic instructional datasets.
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+ ### ru-llm-arena: **31.2** (local measurement)
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  | **Model** | **Score** | **95% CI** | **Avg Tokens** |
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  | ------------------------------------------- | --------- | --------------- | -------------- |
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+ | **MTSAIR/Cotype-Nano** | **31.2** | **+1.7 / -1.9** | **567** |
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  | storm-7b | 20.62 | +2.0 / -1.6 | 419.32 |
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  | neural-chat-7b-v3-3 | 19.04 | +2.0 / -1.7 | 927.21 |
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  | Vikhrmodels-Vikhr-Llama-3.2-1B-instruct | 19.04 | +1.3 / -1.6 | 958.63 |